LLM Wiki Second Brain

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Manages a persistent, compounding knowledge base in Obsidian by incrementally ingesting sources and maintaining interlinked markdown pages.

The LLM Wiki skill transforms Claude Code and other AI agents into disciplined knowledge maintainers based on the 'Second Brain' pattern. Unlike traditional RAG workflows that re-derive insights for every query, this skill builds a persistent Obsidian vault where knowledge accumulates over time. It automatically handles incremental ingestion, cross-referencing, and high-level synthesis, ensuring your research, documentation, and personal insights become a cohesive, searchable codebase. It is ideal for long-term projects where context needs to be preserved and expanded across multiple sessions rather than forgotten.

Key Features

01Standardized logging system to track knowledge evolution and source history
02Automated wiki linting to detect contradictions, orphan pages, and data gaps
0317,930 GitHub stars
04Incremental source ingestion with automatic cross-referencing and indexing
05Three-layer vault architecture to separate immutable raw sources from AI-managed knowledge
06Cross-tool compatibility with Claude Code, Cursor, Codex, and Gemini CLI

Use Cases

01Creating a team-wide technical knowledge base fed by meeting notes, Slack logs, and documentation
02Building a deep-dive research wiki for complex topics like AI interpretability or academic studies
03Maintaining a personal knowledge management (PKM) system for tracking health, goals, and journaling